Eastern Washington University

What you'll study

The programme emphasises numerical methods and computational approaches to continuous and discrete mathematical problems. Core topics typically include numerical analysis, computational linear algebra, numerical solution of ordinary and partial differential equations, and optimisation methods. Students also study advanced topics in applied mathematics such as mathematical modelling, scientific computing, and approximation theory.

Alongside theory you will gain practical programming and software skills commonly used in computational mathematics, for example algorithm implementation, use of high-level scientific computing environments (such as Python, MATLAB or similar), and parallel/numerical libraries. The curriculum commonly combines coursework with a significant capstone component — either a research thesis, an applied project, or a comprehensive project under faculty supervision.

• Numerical Analysis and Error Theory
• Computational Linear Algebra
• Numerical Methods for ODEs and PDEs
• Scientific Computing and Algorithms
• Mathematical Modelling and Simulation
• Optimisation and Computational Methods
• Graduate Seminar and Research Methods

Structure

The programme is usually structured as a combination of required core courses, elective courses that allow specialisation, and a culminating thesis or project. Full-time students typically complete the degree in two years, while part-time study options may be available. The department emphasises close faculty interaction, and students often participate in applied research or collaborative projects with local industry or university research groups.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree in mathematics or a closely related field (such as physics, engineering, computer science or statistics) with a strong quantitative record. Typical preparation includes undergraduate coursework in calculus (single and multivariable), linear algebra, differential equations, and introductory real analysis or proof-based mathematics. Programming experience and a course in numerical methods or scientific computing are advantageous.

The department seeks evidence of academic potential through undergraduate transcripts, letters of recommendation, and a statement of purpose describing research interests and preparation. International applicants must provide proof of English language proficiency through recognised tests or equivalent documentation as required by the university. Specific GPA thresholds, test requirements and documentation are available from the university’s admissions office.

Career prospects

Graduates with a master’s in computational mathematics are well placed for careers where advanced quantitative and computational skills are valued. Common roles include:

• Data scientist and quantitative analyst in finance, technology and services
• Computational scientist or numerical modeller in engineering, energy, environmental science and research labs
• Software developer or algorithm engineer focused on scientific and numerical applications
• Operations researcher or optimisation specialist in logistics and manufacturing
• Further academic study such as PhD programmes in applied mathematics, computational science or related fields

Alumni also find roles in government research agencies, consulting firms, and companies developing simulation and modelling tools. The programme’s blend of theory and applied computing makes graduates adaptable to sectors that require rigorous model development, analysis and implementation.

Why study at Eastern Washington University

Eastern Washington University offers a close-knit mathematics department with opportunities for direct mentorship from faculty actively engaged in applied and computational research. Small class sizes create an environment where students can receive individual guidance on coursework and research projects.

The university provides access to computing resources and lab facilities appropriate for numerical experimentation and simulation, and the regional context offers connections to local industry and research partners for applied projects or internships. For students seeking preparation for doctoral study, industry roles, or applied research careers, the programme balances foundational mathematical training with practical computational experience in a supportive, hands-on setting.